guolz-ml Goto Github PK

-safew

-vim-

自己的vim配置

adaboost

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

an_easy_game

apriori

awesome

:sunglasses: Curated list of awesome lists

awesome-chinese-podcasts

一些不错的中文podcasts

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-longtailed-recognition

awesome-network-embedding

A curated list of network embedding techniques.

awesome_lists

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

baidu_baike_spider

baidu_tieba_spider

bayes

bilevel-optimization

Papers projects about Bilevel Optimization and Machine Learning

books

我读过的书。嘿嘿，分享给你。

class-imbalanced-ssl

convex-optimization

cwsl

The demo implementation of CWSL method

darp

Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)

deep-ssl

Deep SSL

digit-recognizer

kaggle

dive-into-dl-pytorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。

domain-adaptation-toolbox

Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms

dotfiles

Dotfiles of PytLab

ds3l

The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020.

easy_2048-in-200-lines

Implement game 2048 with python

elements-of-statistical-learning

Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)